clip

Compute image-text similarity for zero-shot classification and cross-modal retrieval.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/jacardl/New-Radar --skill clip-jacardl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clip
Source: https://github.com/jacardl/New-Radar/tree/main/backend/frameworks/hermes-agent/skills/mlops/models/clip
Command: npx skills add https://github.com/jacardl/New-Radar --skill clip-jacardl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vision-language models connect images and natural language, enabling zero-shot classification and cross-modal retrieval without task-specific labels.

Core Features & Use Cases

  • Zero-shot image classification
  • Image-text similarity and retrieval
  • Cross-modal content moderation and search

Quick Start

Classify an image by computing the similarity between the image and a set of text prompts.

Frequently Asked Questions about clip

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform zero-shot image classification without task-specific training?

Zero-shot image classification uses a vision-language model to compute the similarity between an image and a set of text prompts, enabling categorization without task-specific fine-tuning or labeled datasets.

What is cross-modal retrieval and how does it connect images and language?

Cross-modal retrieval connects images and language by using a vision-language model to compute image-text similarity, allowing users to search for images using text queries across diverse domains.

Do I need PyTorch and the transformers library to run cross-modal content moderation?

Yes, cross-modal content moderation requires a deep learning framework like PyTorch, the transformers library, and standard image processing tools to load models, preprocess inputs, and compute image-text similarity.

What's the best way to build an image search system using natural language queries?

Building an image search system with natural language queries is best achieved by using a vision-language model to compute image-text similarity, enabling cross-modal retrieval without requiring task-specific labels.

Can I use zero-shot image classification for multimodal analysis across diverse domains?

Yes, zero-shot image classification supports multimodal analysis across diverse domains by leveraging a vision-language model to connect images and language without requiring task-specific fine-tuning or labeled data.